Mixed ASR System for Amazigh and Arabic UnderResourced Dialects in Maghreb Region

Automatic Speech Recognition (ASR) technology plays an essential role in human-machine interaction. In this paper, we describe our conducted speech experiments that are realized to develop and adapt a mixed automaticspeech recognition system based on spoken digits for Amazigh and Arabic dialects that are considered as under-resourced dialects in the Maghreb region.Our used database includes speech samples collected from 24 Moroccans and Algerian speakers including both males and females. The designed system is implemented based on the combination of hidden Markov models and Gaussian mixture models, as well as the Mel frequency spectral coefficients (MFCCs) feature extraction method.